Developing DELPHI expert consensus rules for a digital twin model of acute stroke care in the neuro critical care unit.

Journal: BMC neurology
Published Date:

Abstract

INTRODUCTION: Digital twins, a form of artificial intelligence, are virtual representations of the physical world. In the past 20 years, digital twins have been utilized to track wind turbines' operations, monitor spacecraft's status, and even create a model of the Earth for climate research. While digital twins hold much promise for the neurocritical care unit, the question remains on how to best establish the rules that govern these models. This model will expand on our group's existing digital twin model for the treatment of sepsis.

Authors

  • Johnny Dang
    Department of Neurology, Cleveland Clinic, Cleveland, USA.
  • Amos Lal
    Department of Internal Medicine, Saint Vincent Hospital, Worcester, Massachusetts, USA.
  • Amy Montgomery
    Department of Medicine, Mayo Clinic, Rochester, USA.
  • Laure Flurin
    Infectious Diseases Research Laboratory, Mayo Clinic, Rochester, USA.
  • John Litell
    Abbott Northwestern Emergency Critical Care, Minneapolis, USA.
  • Ognjen Gajic
    Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Alejandro Rabinstein
    Department of Neurology, Mayo Clinic, Rochester, USA.